
|
17 Sep 2019
A DEEP LEARNING APPROACH FOR URBAN UNDERGROUND OBJECTS DETECTION FROM VEHICLE-BORNE GROUND PENETRATING RADAR DATA IN REAL-TIME
Z. Zong, C. Chen, X. Mi, W. Sun, Y. Song, J. Li, Z. Dong, R. Huang, and B. Yang
Viewed
Total article views: 1,948 (including HTML, PDF, and XML)
| HTML |
PDF |
XML |
Total |
BibTeX |
EndNote |
| 1,203 |
695 |
50 |
1,948 |
109 |
157 |
- HTML: 1,203
- PDF: 695
- XML: 50
- Total: 1,948
- BibTeX: 109
- EndNote: 157
Views and downloads (calculated since 17 Sep 2019)
Cumulative views and downloads
(calculated since 17 Sep 2019)
Viewed (geographical distribution)
Total article views: 1,870 (including HTML, PDF, and XML)
Thereof 1,867 with geography defined
and 3 with unknown origin.
|
| Total: |
0 |
| HTML: |
0 |
| PDF: |
0 |
| XML: |
0 |
Latest update: 05 Apr 2026